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Head of Data Science

Job in City Of London, Central London, Greater London, England, UK
Listing for: LinuxRecruit
Full Time position
Listed on 2026-01-03
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: City Of London

If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity.

An innovative software platform is seeking a seasoned leader to oversee its data science function. In this pivotal role, you’ll guide both strategic direction and technical execution of AI initiatives central to the product. The platform helps global enterprises make smarter commercial decisions through predictive insights rooted in customer behaviour.

You’ll lead a talented team of data scientists, shaping a collaborative, high-performing group. Your focus will be driving innovation, scaling ML systems, and aligning technical efforts with business outcomes. You’ll work with senior leadership and collaborate across departments to ensure machine learning delivers real, lasting value.

This role offers a blend of strategic influence and hands‑on impact. You’ll define how machine learning evolves while ensuring solutions are robust, scalable, and commercially relevant. From improving processes to evaluating new tools, you’ll have the freedom and responsibility to set the pace.

The ideal candidate has at least eight years of experience in machine learning or data science, including a solid leadership track record. You’ll bring deep technical expertise in model development, data infrastructure, and operational practices. Proficiency in Python is essential, and experience with cloud platforms like AWS, Azure, or GCP is highly valued. A background in a quantitative field such as mathematics, statistics, or physics is key, especially if you can connect technical insight to business needs.

Success in this role depends on your ability to lead people, mentor teams, and communicate clearly with both technical and non-technical colleagues. Familiarity with agile workflows and experience in fast-moving, product‑led environments will be an asset.

If you're ready to take ownership of machine learning at a company where your work shapes both product and strategy, this is your moment.

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